Type 2 diabetes is a persistent disorder that affects millions of individuals globally. It characterised by the excessive levels glucose within blood due to insulin resistance or incapability supply insulin. Early detection and prediction type can improve patient outcomes. K-Nearest Neighbor (KNN) used in present model predict diabetes. The KNN set rules simple but powerful machine learning for...

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

This paper concerns the efficient processing of multiple k nearest neighbor queries in a road-network setting. The assumed setting covers a range of scenarios such as the one where a large population of mobile service users that are constrained to a road network issue nearest-neighbor queries for points of interest that are accessible via the road network. Given multiple k nearest neighbor quer...

The traditional statistical models assume the covariance matrices for two populations are identical and both populations need to be described by multivariate normal distribution. Clearly, these assumptions do not always reflect the real world. Rough set is a new technique for data mining domain application. In this study, establish a financial distress Classification model using Fuzzy Nearest–N...